Further Investigations on Developing an Arabic Sentiment Lexicon
Omar Batarfi, Mohamed Yehia Dahab, Muazzam Ahmed Siddiqui · International Journal on Natural Language Computing · 2019
The availability of lexical resources is huge to accelerate and simplify the sentiment analysis in English.In Arabic, there are few resources and these resources are not comprehensive.Most of the current research efforts for constructing Arabic Sentiment Lexicon (ASL) depend on a large number of lexical entities.However, the coverage of all Arabic sentiment expressions can be applied using refined regular expressions rather than a large number of lexical entities.This paper presents an ASL that more comprehensive than the existing lexicons, for covering many expressions with different dialects including Franco-Arabic, and in the same time more compact.Also, this paper shows how to integrate different lexicons and to refine them.To enrich lexical entries with very robust morphological syntactical information, regular expressions, the weight of sentiment polarity and n-gram terms have been augmented to each